Description

• Design and develop robust, high-performance back-end systems using Java 11+ and the Spring Boot ecosystem.
• Actively participate in design discussions, code reviews, and architecture sessions with a hands-on approach.
• Build and maintain microservices and event-driven systems for processing and distributing large-scale financial data.
• Develop data integration and pipeline components connecting Snowflake, SQL Server, and real-time streaming platforms.
• Implement and optimize Redis-based caching and data stores for low-latency access.
• Contribute to end-to-end development, including lightweight UI updates when needed by leveraging AI-assisted coding tools and collaborating with front-end engineers.
• Champion best practices for:
  • Code quality
  • Testing
  • Automation
  • Performance tuning
• Drive technical craftsmanship, problem-solving, and design thinking across the team.
• Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes.

Qualifications :
Required Skills

• 4+ years of professional experience in Java and object-oriented programming.
• Strong expertise in:
  • Java 11+
  • Spring Boot
  • REST APIs
  • Enterprise Integration Patterns
• Strong experience with SQL Server, including:
  • Stored Procedures
  • Performance Tuning
  • Data Modeling
• Experience with Redis for caching or data persistence.
• Hands-on experience with Kafka or similar publish-subscribe/event-streaming platforms.
• Familiarity with Snowflake and data pipeline concepts, including:
  • ETL
  • Batch Processing
  • Streaming Pipelines
• Preferred exposure to front-end technologies:
  • Angular or React
  • JavaScript / TypeScript
  • HTML / CSS
• Experience with Agentic Coding and a general understanding of Large Language Models (LLMs).
• Strong focus on:
  • Clean Architecture
  • Maintainability
  • Production Readiness
• Excellent communication and collaboration skills.

Nice to Have

• Experience with:
  • Kubernetes
  • Docker
  • AWS or GCP
• Exposure to observability tools:
  • Prometheus
  • Grafana
  • OpenTelemetry
• Python scripting for automation or data analysis.
• Exposure to:
  • Prompt Engineering
  • Agentic AI
• Experience or interest in:
  • Financial Systems
  • Accounting
  • Investment Technology

Education

• B.S. or M.S. in Computer Science, Engineering, or a related discipline

Key Skills

Education

Bachelor's degree